code: def generate_manifest_entry(inputs):
      """
      Generates a manifest entry for a single audio file.
      This function is parallelized using multiprocessing.Pool.
  
      Args:
          inputs (tuple): Tuple containing audio file path and frame length in seconds.
              inputs[0]:
                  audio_filepath (str): Path to audio file.
              inputs[1]:
                  vad_frame_unit_secs (float): Duration in seconds for each frame label.
  
      Returns:
          entry (dict): Dictionary containing manifest entry.
      """
      audio_filepath, vad_frame_unit_secs = inputs
      audio_filepath = Path(audio_filepath)
      y, sr = librosa.load(str(audio_filepath))
      dur = librosa.get_duration(y=y, sr=sr)
  
      manifest_path = audio_filepath.parent / Path(
          f"{audio_filepath.stem}.json"
      )
      audio_manifest = read_manifest(manifest_path)
      text = " ".join([x["text"] for x in audio_manifest])
  
      rttm_path = audio_filepath.parent / Path(
          f"{audio_filepath.stem}.rttm"
      )
      segments = load_speech_segments_from_rttm(rttm_path)
      labels = get_frame_labels(segments, vad_frame_unit_secs, 0.0, dur)
  
      entry = {
          "audio_filepath": str(audio_filepath.absolute()),
          "offset": 0.0,
          "duration": dur,
          "text": text,
          "label": labels,
          "orig_sample_rate": sr,
          "vad_frame_unit_secs": vad_frame_unit_secs,
      }
      return entry
  
file_path: NeMo/scripts/speaker_tasks/create_synth_vad_manifest.py
imports: import argparse
  import multiprocessing
  from itertools import repeat
  from pathlib import Path
  import librosa
  from tqdm import tqdm
  from nemo.collections.asr.parts.utils.manifest_utils import read_manifest, write_manifest
  from nemo.collections.asr.parts.utils.vad_utils import get_frame_labels, load_speech_segments_from_rttm
label_desc: Use image node_id 1 for calling a global function with example usage: generate_manifest_entry(inputs) and returns: entry